Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Transferring color to greyscale images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
IEEE Computer Graphics and Applications
Image Color Transfer Approach by Analogy with Taylor Expansion
International Journal of System Dynamics Applications
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The Taylor expansion has shown - in many fields - to be an extremely powerful tool. In this paper, we investigated image features and their relationships by analogy with Taylor expansion. The kind of expansion could be used to investigate positions of image feature analysis and engraftment, such as transferring color between images. By analogy with Taylor expansion, we designed the image-rendering algorithm to find a best match in the source image by first and second-order information. The luminance histogram represents the first-order information of image, and the co-occurrence matrix represents the second-order information of image. Some results of our processing showed the algorithm worked very well. In our study, each polynomial in our analogy Taylor expansion of images was considered as one of image features, which makes us re-understand images and its features. It provided us a cue that the features of image, such as color, texture, dimension, time series, would be not isolated but mutual relational based on image expansion.